Automatic Framework for Detecting Obstacles Restricting 3D Highway Sight Distance Using Mobile Laser Scanning Data-Reference-Cited by-同舟云学术

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Automatic Framework for Detecting Obstacles Restricting 3D Highway Sight Distance Using Mobile Laser Scanning Data

Published:2021-07 Issue:4 Volume:35 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Ma Yang¹^ORCID,Easa Said²,Cheng Jianchuan³,Yu Bin³

Affiliation:

1. Ph.D. Student, School of Transportation, Southeast Univ., 2 Dongnandaxue Rd., Nanjing, Jiangsu 211189, PR China (corresponding author). ORCID: .

2. Professor, Dept. of Civil Engineering, Ryerson Univ., Toronto, ON, Canada M5B 2K3.

3. Professor, School of Transportation, Southeast Univ., 2 Dongnandaxue Rd., Nanjing, Jiangsu 211189, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000973

Reference34 articles.

1. AASHTO. 2018. A policy on geometric design of highways and streets. Washington, DC: AASHTO.

2. 3D GIS BASED EVALUATION OF THE AVAILABLE SIGHT DISTANCE TO ASSESS SAFETY OF URBAN ROADS

3. GIS-Based System for Sight Distance Analysis of Highways

4. Sight distance analysis of highways using GIS tools

5. LIDAR-based roadway and roadside modelling for sight distance studies

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